{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# plot libraries\n",
    "This notebook demostrates popular plot libraries works properly in lgo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# wcharczuk/go-chart\n",
    "- [wcharczuk/go-chart](https://github.com/wcharczuk/go-chart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "// This sample is copied from https://github.com/wcharczuk/go-chart/tree/master/_examples/stacked_bar\n",
    "\n",
    "import (\n",
    "    \"bytes\"\n",
    "    \"fmt\"\n",
    "\n",
    "    \"github.com/wcharczuk/go-chart\"\n",
    ")\n",
    "\n",
    "sbc := chart.StackedBarChart{\n",
    "    Title:      \"Test Stacked Bar Chart\",\n",
    "    TitleStyle: chart.StyleShow(),\n",
    "    Background: chart.Style{\n",
    "        Padding: chart.Box{\n",
    "            Top: 40,\n",
    "        },\n",
    "    },\n",
    "    Height: 512,\n",
    "    XAxis: chart.Style{\n",
    "        Show: true,\n",
    "    },\n",
    "    YAxis: chart.Style{\n",
    "        Show: true,\n",
    "    },\n",
    "    Bars: []chart.StackedBar{\n",
    "        {\n",
    "            Name: \"This is a very long string to test word break wrapping.\",\n",
    "            Values: []chart.Value{\n",
    "                {Value: 5, Label: \"Blue\"},\n",
    "                {Value: 5, Label: \"Green\"},\n",
    "                {Value: 4, Label: \"Gray\"},\n",
    "                {Value: 3, Label: \"Orange\"},\n",
    "                {Value: 3, Label: \"Test\"},\n",
    "                {Value: 2, Label: \"??\"},\n",
    "                {Value: 1, Label: \"!!\"},\n",
    "            },\n",
    "        }, {\n",
    "            Name: \"Test\",\n",
    "            Values: []chart.Value{\n",
    "                {Value: 10, Label: \"Blue\"},\n",
    "                {Value: 5, Label: \"Green\"},\n",
    "                {Value: 1, Label: \"Gray\"},\n",
    "            },\n",
    "        },\n",
    "        {\n",
    "            Name: \"Test 2\",\n",
    "            Values: []chart.Value{\n",
    "                {Value: 10, Label: \"Blue\"},\n",
    "                {Value: 6, Label: \"Green\"},\n",
    "                {Value: 4, Label: \"Gray\"},\n",
    "            },\n",
    "        },\n",
    "    },\n",
    "}\n",
    "var buf bytes.Buffer\n",
    "err := sbc.Render(chart.PNG, &buf)\n",
    "if err != nil {\n",
    "    fmt.Printf(\"Error rendering chart: %v\\n\", err)\n",
    "    return\n",
    "}\n",
    "_ctx.Display.PNG(buf.Bytes(), nil)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# gonum/plot\n",
    "- [gonum/plot](https://github.com/gonum/plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "// This sample is copied from https://github.com/gonum/plot/wiki/Example-plots#plotutil\n",
    "import (\n",
    "    \"bytes\"\n",
    "    \"math/rand\"\n",
    "\n",
    "    \"gonum.org/v1/plot\"\n",
    "    \"gonum.org/v1/plot/plotter\"\n",
    "    \"gonum.org/v1/plot/plotutil\"\n",
    "    \"gonum.org/v1/plot/vg\"\n",
    ")\n",
    "\n",
    "func DisplayPlot(p *plot.Plot) {\n",
    "    // Save the plot to a PNG file.\n",
    "    var buf bytes.Buffer\n",
    "    c, err := p.WriterTo(4*vg.Inch, 4*vg.Inch, \"png\")\n",
    "    if err != nil {\n",
    "        panic(err)\n",
    "    }\n",
    "    if _, err := c.WriteTo(&buf); err != nil {\n",
    "        panic(err)\n",
    "    }\n",
    "    _ctx.Display.PNG(buf.Bytes(), nil)\n",
    "}\n",
    "\n",
    "// randomPoints returns some random x, y points.\n",
    "func randomPoints(n int) plotter.XYs {\n",
    "    pts := make(plotter.XYs, n)\n",
    "    for i := range pts {\n",
    "        if i == 0 {\n",
    "            pts[i].X = rand.Float64()\n",
    "        } else {\n",
    "            pts[i].X = pts[i-1].X + rand.Float64()\n",
    "        }\n",
    "        pts[i].Y = pts[i].X + 10*rand.Float64()\n",
    "    }\n",
    "    return pts\n",
    "}\n",
    "\n",
    "{\n",
    "    p, err := plot.New()\n",
    "    if err != nil {\n",
    "        panic(err)\n",
    "    }\n",
    "    \n",
    "    p.Title.Text = \"Plotutil example\"\n",
    "    p.X.Label.Text = \"X\"\n",
    "    p.Y.Label.Text = \"Y\"\n",
    "\n",
    "    err = plotutil.AddLinePoints(\n",
    "        p,\n",
    "        \"First\", randomPoints(15),\n",
    "        \"Second\", randomPoints(15),\n",
    "        \"Third\", randomPoints(15))\n",
    "    if err != nil {\n",
    "        panic(err)\n",
    "    }\n",
    "\n",
    "    DisplayPlot(p)\n",
    "}"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Go (lgo)",
   "language": "go",
   "name": "lgo"
  },
  "language_info": {
   "file_extension": "",
   "mimetype": "",
   "name": "go",
   "version": ""
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
